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<h1 class="epydoc">Source Code for <a href="peach.sa.neighbor-module.html">Module peach.sa.neighbor</a></h1>
<pre class="py-src">
<a name="L1"></a><tt class="py-lineno">  1</tt>  <tt class="py-line"><tt class="py-comment">################################################################################</tt> </tt>
<a name="L2"></a><tt class="py-lineno">  2</tt>  <tt class="py-line"><tt class="py-comment"># Peach - Computational Intelligence for Python</tt> </tt>
<a name="L3"></a><tt class="py-lineno">  3</tt>  <tt class="py-line"><tt class="py-comment"># Jose Alexandre Nalon</tt> </tt>
<a name="L4"></a><tt class="py-lineno">  4</tt>  <tt class="py-line"><tt class="py-comment">#</tt> </tt>
<a name="L5"></a><tt class="py-lineno">  5</tt>  <tt class="py-line"><tt class="py-comment"># This file: sa/neighbor.py</tt> </tt>
<a name="L6"></a><tt class="py-lineno">  6</tt>  <tt class="py-line"><tt class="py-comment"># Simulated Annealing</tt> </tt>
<a name="L7"></a><tt class="py-lineno">  7</tt>  <tt class="py-line"><tt class="py-comment">################################################################################</tt> </tt>
<a name="L8"></a><tt class="py-lineno">  8</tt>  <tt class="py-line"> </tt>
<a name="L9"></a><tt class="py-lineno">  9</tt>  <tt class="py-line"><tt class="py-comment"># Doc string, reStructuredText formatted:</tt> </tt>
<a name="L10"></a><tt class="py-lineno"> 10</tt>  <tt class="py-line"><tt id="link-0" class="py-name" targets="Variable peach.__doc__=peach-module.html#__doc__,Variable peach.fuzzy.__doc__=peach.fuzzy-module.html#__doc__,Variable peach.fuzzy.base.__doc__=peach.fuzzy.base-module.html#__doc__,Variable peach.fuzzy.cmeans.__doc__=peach.fuzzy.cmeans-module.html#__doc__,Variable peach.fuzzy.control.__doc__=peach.fuzzy.control-module.html#__doc__,Variable peach.fuzzy.defuzzy.__doc__=peach.fuzzy.defuzzy-module.html#__doc__,Variable peach.fuzzy.mf.__doc__=peach.fuzzy.mf-module.html#__doc__,Variable peach.fuzzy.norms.__doc__=peach.fuzzy.norms-module.html#__doc__,Variable peach.ga.__doc__=peach.ga-module.html#__doc__,Variable peach.ga.base.__doc__=peach.ga.base-module.html#__doc__,Variable peach.ga.chromosome.__doc__=peach.ga.chromosome-module.html#__doc__,Variable peach.ga.crossover.__doc__=peach.ga.crossover-module.html#__doc__,Variable peach.ga.fitness.__doc__=peach.ga.fitness-module.html#__doc__,Variable peach.ga.mutation.__doc__=peach.ga.mutation-module.html#__doc__,Variable peach.ga.selection.__doc__=peach.ga.selection-module.html#__doc__,Variable peach.nn.__doc__=peach.nn-module.html#__doc__,Variable peach.nn.af.__doc__=peach.nn.af-module.html#__doc__,Variable peach.nn.base.__doc__=peach.nn.base-module.html#__doc__,Variable peach.nn.kmeans.__doc__=peach.nn.kmeans-module.html#__doc__,Variable peach.nn.lrules.__doc__=peach.nn.lrules-module.html#__doc__,Variable peach.nn.mem.__doc__=peach.nn.mem-module.html#__doc__,Variable peach.nn.nnet.__doc__=peach.nn.nnet-module.html#__doc__,Variable peach.nn.rbfn.__doc__=peach.nn.rbfn-module.html#__doc__,Variable peach.optm.__doc__=peach.optm-module.html#__doc__,Variable peach.optm.base.__doc__=peach.optm.base-module.html#__doc__,Variable peach.optm.linear.__doc__=peach.optm.linear-module.html#__doc__,Variable peach.optm.multivar.__doc__=peach.optm.multivar-module.html#__doc__,Variable peach.optm.quasinewton.__doc__=peach.optm.quasinewton-module.html#__doc__,Variable peach.optm.stochastic.__doc__=peach.optm.stochastic-module.html#__doc__,Variable peach.pso.__doc__=peach.pso-module.html#__doc__,Variable peach.pso.acc.__doc__=peach.pso.acc-module.html#__doc__,Variable peach.pso.base.__doc__=peach.pso.base-module.html#__doc__,Variable peach.sa.__doc__=peach.sa-module.html#__doc__,Variable peach.sa.base.__doc__=peach.sa.base-module.html#__doc__,Variable peach.sa.neighbor.__doc__=peach.sa.neighbor-module.html#__doc__"><a title="peach.__doc__
peach.fuzzy.__doc__
peach.fuzzy.base.__doc__
peach.fuzzy.cmeans.__doc__
peach.fuzzy.control.__doc__
peach.fuzzy.defuzzy.__doc__
peach.fuzzy.mf.__doc__
peach.fuzzy.norms.__doc__
peach.ga.__doc__
peach.ga.base.__doc__
peach.ga.chromosome.__doc__
peach.ga.crossover.__doc__
peach.ga.fitness.__doc__
peach.ga.mutation.__doc__
peach.ga.selection.__doc__
peach.nn.__doc__
peach.nn.af.__doc__
peach.nn.base.__doc__
peach.nn.kmeans.__doc__
peach.nn.lrules.__doc__
peach.nn.mem.__doc__
peach.nn.nnet.__doc__
peach.nn.rbfn.__doc__
peach.optm.__doc__
peach.optm.base.__doc__
peach.optm.linear.__doc__
peach.optm.multivar.__doc__
peach.optm.quasinewton.__doc__
peach.optm.stochastic.__doc__
peach.pso.__doc__
peach.pso.acc.__doc__
peach.pso.base.__doc__
peach.sa.__doc__
peach.sa.base.__doc__
peach.sa.neighbor.__doc__" class="py-name" href="#" onclick="return doclink('link-0', '__doc__', 'link-0');">__doc__</a></tt> <tt class="py-op">=</tt> <tt class="py-docstring">"""</tt> </tt>
<a name="L11"></a><tt class="py-lineno"> 11</tt>  <tt class="py-line"><tt class="py-docstring">This module implements a general class to compute neighbors for continuous and</tt> </tt>
<a name="L12"></a><tt class="py-lineno"> 12</tt>  <tt class="py-line"><tt class="py-docstring">binary simulated annealing algorithms. The continuous neighbor functions return</tt> </tt>
<a name="L13"></a><tt class="py-lineno"> 13</tt>  <tt class="py-line"><tt class="py-docstring">an array with a neighbor of a given estimate; the binary neighbor functions</tt> </tt>
<a name="L14"></a><tt class="py-lineno"> 14</tt>  <tt class="py-line"><tt class="py-docstring">return a ``bitarray`` object.</tt> </tt>
<a name="L15"></a><tt class="py-lineno"> 15</tt>  <tt class="py-line"><tt class="py-docstring">"""</tt> </tt>
<a name="L16"></a><tt class="py-lineno"> 16</tt>  <tt class="py-line"> </tt>
<a name="L17"></a><tt class="py-lineno"> 17</tt>  <tt class="py-line"><tt class="py-comment">################################################################################</tt> </tt>
<a name="L18"></a><tt class="py-lineno"> 18</tt>  <tt class="py-line"><tt class="py-keyword">from</tt> <tt class="py-name">numpy</tt> <tt class="py-keyword">import</tt> <tt class="py-name">array</tt><tt class="py-op">,</tt> <tt class="py-name">reshape</tt><tt class="py-op">,</tt> <tt class="py-name">vectorize</tt> </tt>
<a name="L19"></a><tt class="py-lineno"> 19</tt>  <tt class="py-line"><tt class="py-keyword">from</tt> <tt class="py-name">numpy</tt><tt class="py-op">.</tt><tt class="py-name">random</tt> <tt class="py-keyword">import</tt> <tt class="py-name">uniform</tt><tt class="py-op">,</tt> <tt id="link-1" class="py-name" targets="Function peach.sa.base.standard_normal()=peach.sa.base-module.html#standard_normal"><a title="peach.sa.base.standard_normal" class="py-name" href="#" onclick="return doclink('link-1', 'standard_normal', 'link-1');">standard_normal</a></tt> </tt>
<a name="L20"></a><tt class="py-lineno"> 20</tt>  <tt class="py-line"><tt class="py-keyword">from</tt> <tt class="py-name">random</tt> <tt class="py-keyword">import</tt> <tt class="py-name">randrange</tt> </tt>
<a name="L21"></a><tt class="py-lineno"> 21</tt>  <tt class="py-line"><tt class="py-keyword">import</tt> <tt class="py-name">types</tt> </tt>
<a name="L22"></a><tt class="py-lineno"> 22</tt>  <tt class="py-line"> </tt>
<a name="L23"></a><tt class="py-lineno"> 23</tt>  <tt class="py-line"> </tt>
<a name="L24"></a><tt class="py-lineno"> 24</tt>  <tt class="py-line"><tt class="py-comment">################################################################################</tt> </tt>
<a name="L25"></a><tt class="py-lineno"> 25</tt>  <tt class="py-line"><tt class="py-comment"># Classes</tt> </tt>
<a name="L26"></a><tt class="py-lineno"> 26</tt>  <tt class="py-line"><tt class="py-comment">################################################################################</tt> </tt>
<a name="ContinuousNeighbor"></a><div id="ContinuousNeighbor-def"><a name="L27"></a><tt class="py-lineno"> 27</tt> <a class="py-toggle" href="#" id="ContinuousNeighbor-toggle" onclick="return toggle('ContinuousNeighbor');">-</a><tt class="py-line"><tt class="py-keyword">class</tt> <a class="py-def-name" href="peach.sa.neighbor.ContinuousNeighbor-class.html">ContinuousNeighbor</a><tt class="py-op">(</tt><tt class="py-base-class">object</tt><tt class="py-op">)</tt><tt class="py-op">:</tt> </tt>
</div><div id="ContinuousNeighbor-collapsed" style="display:none;" pad="+++" indent="++++"></div><div id="ContinuousNeighbor-expanded"><a name="L28"></a><tt class="py-lineno"> 28</tt>  <tt class="py-line">    <tt class="py-docstring">'''</tt> </tt>
<a name="L29"></a><tt class="py-lineno"> 29</tt>  <tt class="py-line"><tt class="py-docstring">    Base class for continuous neighbor functions</tt> </tt>
<a name="L30"></a><tt class="py-lineno"> 30</tt>  <tt class="py-line"><tt class="py-docstring"></tt> </tt>
<a name="L31"></a><tt class="py-lineno"> 31</tt>  <tt class="py-line"><tt class="py-docstring">    This class should be derived to implement a function which computes the</tt> </tt>
<a name="L32"></a><tt class="py-lineno"> 32</tt>  <tt class="py-line"><tt class="py-docstring">    neighbor of a given estimate. Every neighbor function should implement at</tt> </tt>
<a name="L33"></a><tt class="py-lineno"> 33</tt>  <tt class="py-line"><tt class="py-docstring">    least two methods, defined below:</tt> </tt>
<a name="L34"></a><tt class="py-lineno"> 34</tt>  <tt class="py-line"><tt class="py-docstring"></tt> </tt>
<a name="L35"></a><tt class="py-lineno"> 35</tt>  <tt class="py-line"><tt class="py-docstring">      __init__(self, *cnf, **kw)</tt> </tt>
<a name="L36"></a><tt class="py-lineno"> 36</tt>  <tt class="py-line"><tt class="py-docstring">        Initializes the object. There are no mandatory arguments, but any</tt> </tt>
<a name="L37"></a><tt class="py-lineno"> 37</tt>  <tt class="py-line"><tt class="py-docstring">        parameters can be used here to configure the operator. For example, a</tt> </tt>
<a name="L38"></a><tt class="py-lineno"> 38</tt>  <tt class="py-line"><tt class="py-docstring">        class can define a variance for randomly chose the neighbor -- this</tt> </tt>
<a name="L39"></a><tt class="py-lineno"> 39</tt>  <tt class="py-line"><tt class="py-docstring">        should be defined here::</tt> </tt>
<a name="L40"></a><tt class="py-lineno"> 40</tt>  <tt class="py-line"><tt class="py-docstring"></tt> </tt>
<a name="L41"></a><tt class="py-lineno"> 41</tt>  <tt class="py-line"><tt class="py-docstring">          __init__(self, variance=1.0)</tt> </tt>
<a name="L42"></a><tt class="py-lineno"> 42</tt>  <tt class="py-line"><tt class="py-docstring"></tt> </tt>
<a name="L43"></a><tt class="py-lineno"> 43</tt>  <tt class="py-line"><tt class="py-docstring">        A default value should always be offered, if possible.</tt> </tt>
<a name="L44"></a><tt class="py-lineno"> 44</tt>  <tt class="py-line"><tt class="py-docstring"></tt> </tt>
<a name="L45"></a><tt class="py-lineno"> 45</tt>  <tt class="py-line"><tt class="py-docstring">      __call__(self, x):</tt> </tt>
<a name="L46"></a><tt class="py-lineno"> 46</tt>  <tt class="py-line"><tt class="py-docstring">        The ``__call__`` interface should be programmed to actually compute the</tt> </tt>
<a name="L47"></a><tt class="py-lineno"> 47</tt>  <tt class="py-line"><tt class="py-docstring">        value of the neighbor. This method should receive an estimate in ``x``</tt> </tt>
<a name="L48"></a><tt class="py-lineno"> 48</tt>  <tt class="py-line"><tt class="py-docstring">        and use whatever parameters from the instantiation to compute the new</tt> </tt>
<a name="L49"></a><tt class="py-lineno"> 49</tt>  <tt class="py-line"><tt class="py-docstring">        estimate. It should return the new estimate.</tt> </tt>
<a name="L50"></a><tt class="py-lineno"> 50</tt>  <tt class="py-line"><tt class="py-docstring"></tt> </tt>
<a name="L51"></a><tt class="py-lineno"> 51</tt>  <tt class="py-line"><tt class="py-docstring">    Please, note that the SA implementations relies on this behaviour: it will</tt> </tt>
<a name="L52"></a><tt class="py-lineno"> 52</tt>  <tt class="py-line"><tt class="py-docstring">    pass an estimate to your ``__call__`` method and expects to received the</tt> </tt>
<a name="L53"></a><tt class="py-lineno"> 53</tt>  <tt class="py-line"><tt class="py-docstring">    result back.</tt> </tt>
<a name="L54"></a><tt class="py-lineno"> 54</tt>  <tt class="py-line"><tt class="py-docstring"></tt> </tt>
<a name="L55"></a><tt class="py-lineno"> 55</tt>  <tt class="py-line"><tt class="py-docstring">    This class can be used also to transform a simple function in a neighbor</tt> </tt>
<a name="L56"></a><tt class="py-lineno"> 56</tt>  <tt class="py-line"><tt class="py-docstring">    function. In this case, the outside function must compute in an appropriate</tt> </tt>
<a name="L57"></a><tt class="py-lineno"> 57</tt>  <tt class="py-line"><tt class="py-docstring">    way the new estimate.</tt> </tt>
<a name="L58"></a><tt class="py-lineno"> 58</tt>  <tt class="py-line"><tt class="py-docstring">    '''</tt> </tt>
<a name="ContinuousNeighbor.__init__"></a><div id="ContinuousNeighbor.__init__-def"><a name="L59"></a><tt class="py-lineno"> 59</tt> <a class="py-toggle" href="#" id="ContinuousNeighbor.__init__-toggle" onclick="return toggle('ContinuousNeighbor.__init__');">-</a><tt class="py-line">    <tt class="py-keyword">def</tt> <a class="py-def-name" href="peach.sa.neighbor.ContinuousNeighbor-class.html#__init__">__init__</a><tt class="py-op">(</tt><tt class="py-param">self</tt><tt class="py-op">,</tt> <tt class="py-param">f</tt><tt class="py-op">)</tt><tt class="py-op">:</tt> </tt>
</div><div id="ContinuousNeighbor.__init__-collapsed" style="display:none;" pad="+++" indent="++++++++"></div><div id="ContinuousNeighbor.__init__-expanded"><a name="L60"></a><tt class="py-lineno"> 60</tt>  <tt class="py-line">        <tt class="py-docstring">'''</tt> </tt>
<a name="L61"></a><tt class="py-lineno"> 61</tt>  <tt class="py-line"><tt class="py-docstring">        Creates a neighbor function from a function.</tt> </tt>
<a name="L62"></a><tt class="py-lineno"> 62</tt>  <tt class="py-line"><tt class="py-docstring"></tt> </tt>
<a name="L63"></a><tt class="py-lineno"> 63</tt>  <tt class="py-line"><tt class="py-docstring">        :Parameters:</tt> </tt>
<a name="L64"></a><tt class="py-lineno"> 64</tt>  <tt class="py-line"><tt class="py-docstring">          f</tt> </tt>
<a name="L65"></a><tt class="py-lineno"> 65</tt>  <tt class="py-line"><tt class="py-docstring">            The function to be transformed. This function must receive an array</tt> </tt>
<a name="L66"></a><tt class="py-lineno"> 66</tt>  <tt class="py-line"><tt class="py-docstring">            of any size and shape as an estimate, and return an estimate of the</tt> </tt>
<a name="L67"></a><tt class="py-lineno"> 67</tt>  <tt class="py-line"><tt class="py-docstring">            same size and shape as a result. A function that operates only over</tt> </tt>
<a name="L68"></a><tt class="py-lineno"> 68</tt>  <tt class="py-line"><tt class="py-docstring">            a single number can be used -- in this case, the function operation</tt> </tt>
<a name="L69"></a><tt class="py-lineno"> 69</tt>  <tt class="py-line"><tt class="py-docstring">            will propagate over all components of the estimate.</tt> </tt>
<a name="L70"></a><tt class="py-lineno"> 70</tt>  <tt class="py-line"><tt class="py-docstring">        '''</tt> </tt>
<a name="L71"></a><tt class="py-lineno"> 71</tt>  <tt class="py-line">        <tt class="py-keyword">if</tt> <tt class="py-name">isinstance</tt><tt class="py-op">(</tt><tt class="py-name">f</tt><tt class="py-op">,</tt> <tt class="py-name">types</tt><tt class="py-op">.</tt><tt class="py-name">FunctionType</tt><tt class="py-op">)</tt><tt class="py-op">:</tt> </tt>
<a name="L72"></a><tt class="py-lineno"> 72</tt>  <tt class="py-line">            <tt class="py-name">self</tt><tt class="py-op">.</tt><tt class="py-name">__f</tt> <tt class="py-op">=</tt> <tt class="py-name">vectorize</tt><tt class="py-op">(</tt><tt class="py-name">f</tt><tt class="py-op">)</tt> </tt>
<a name="L73"></a><tt class="py-lineno"> 73</tt>  <tt class="py-line">        <tt class="py-keyword">else</tt><tt class="py-op">:</tt> </tt>
<a name="L74"></a><tt class="py-lineno"> 74</tt>  <tt class="py-line">            <tt class="py-name">self</tt><tt class="py-op">.</tt><tt class="py-name">__f</tt> <tt class="py-op">=</tt> <tt class="py-name">f</tt> </tt>
</div><a name="L75"></a><tt class="py-lineno"> 75</tt>  <tt class="py-line"> </tt>
<a name="ContinuousNeighbor.__call__"></a><div id="ContinuousNeighbor.__call__-def"><a name="L76"></a><tt class="py-lineno"> 76</tt> <a class="py-toggle" href="#" id="ContinuousNeighbor.__call__-toggle" onclick="return toggle('ContinuousNeighbor.__call__');">-</a><tt class="py-line">    <tt class="py-keyword">def</tt> <a class="py-def-name" href="peach.sa.neighbor.ContinuousNeighbor-class.html#__call__">__call__</a><tt class="py-op">(</tt><tt class="py-param">self</tt><tt class="py-op">,</tt> <tt class="py-param">x</tt><tt class="py-op">)</tt><tt class="py-op">:</tt> </tt>
</div><div id="ContinuousNeighbor.__call__-collapsed" style="display:none;" pad="+++" indent="++++++++"></div><div id="ContinuousNeighbor.__call__-expanded"><a name="L77"></a><tt class="py-lineno"> 77</tt>  <tt class="py-line">        <tt class="py-docstring">'''</tt> </tt>
<a name="L78"></a><tt class="py-lineno"> 78</tt>  <tt class="py-line"><tt class="py-docstring">        Computes the neighbor of the given estimate.</tt> </tt>
<a name="L79"></a><tt class="py-lineno"> 79</tt>  <tt class="py-line"><tt class="py-docstring"></tt> </tt>
<a name="L80"></a><tt class="py-lineno"> 80</tt>  <tt class="py-line"><tt class="py-docstring">        :Parameters:</tt> </tt>
<a name="L81"></a><tt class="py-lineno"> 81</tt>  <tt class="py-line"><tt class="py-docstring">          x</tt> </tt>
<a name="L82"></a><tt class="py-lineno"> 82</tt>  <tt class="py-line"><tt class="py-docstring">            The estimate to which the neighbor must be computed.</tt> </tt>
<a name="L83"></a><tt class="py-lineno"> 83</tt>  <tt class="py-line"><tt class="py-docstring">        '''</tt> </tt>
<a name="L84"></a><tt class="py-lineno"> 84</tt>  <tt class="py-line">        <tt class="py-keyword">return</tt> <tt class="py-name">self</tt><tt class="py-op">.</tt><tt class="py-name">__f</tt><tt class="py-op">(</tt><tt id="link-2" class="py-name" targets="Variable peach.fuzzy.cmeans.FuzzyCMeans.x=peach.fuzzy.cmeans.FuzzyCMeans-class.html#x,Variable peach.optm.linear.Direct1D.x=peach.optm.linear.Direct1D-class.html#x,Variable peach.optm.linear.GoldenRule.x=peach.optm.linear.GoldenRule-class.html#x,Variable peach.optm.linear.Interpolation.x=peach.optm.linear.Interpolation-class.html#x,Variable peach.optm.multivar.Direct.x=peach.optm.multivar.Direct-class.html#x,Variable peach.optm.multivar.Gradient.x=peach.optm.multivar.Gradient-class.html#x,Variable peach.optm.multivar.MomentumGradient.x=peach.optm.multivar.MomentumGradient-class.html#x,Variable peach.optm.multivar.Newton.x=peach.optm.multivar.Newton-class.html#x,Variable peach.optm.quasinewton.DFP.x=peach.optm.quasinewton.DFP-class.html#x,Variable peach.optm.quasinewton.SR1.x=peach.optm.quasinewton.SR1-class.html#x,Variable peach.sa.base.BinarySA.x=peach.sa.base.BinarySA-class.html#x,Variable peach.sa.base.ContinuousSA.x=peach.sa.base.ContinuousSA-class.html#x"><a title="peach.fuzzy.cmeans.FuzzyCMeans.x
peach.optm.linear.Direct1D.x
peach.optm.linear.GoldenRule.x
peach.optm.linear.Interpolation.x
peach.optm.multivar.Direct.x
peach.optm.multivar.Gradient.x
peach.optm.multivar.MomentumGradient.x
peach.optm.multivar.Newton.x
peach.optm.quasinewton.DFP.x
peach.optm.quasinewton.SR1.x
peach.sa.base.BinarySA.x
peach.sa.base.ContinuousSA.x" class="py-name" href="#" onclick="return doclink('link-2', 'x', 'link-2');">x</a></tt><tt class="py-op">)</tt> </tt>
</div></div><a name="L85"></a><tt class="py-lineno"> 85</tt>  <tt class="py-line"> </tt>
<a name="L86"></a><tt class="py-lineno"> 86</tt>  <tt class="py-line"> </tt>
<a name="L87"></a><tt class="py-lineno"> 87</tt>  <tt class="py-line"><tt class="py-comment">################################################################################</tt> </tt>
<a name="GaussianNeighbor"></a><div id="GaussianNeighbor-def"><a name="L88"></a><tt class="py-lineno"> 88</tt> <a class="py-toggle" href="#" id="GaussianNeighbor-toggle" onclick="return toggle('GaussianNeighbor');">-</a><tt class="py-line"><tt class="py-keyword">class</tt> <a class="py-def-name" href="peach.sa.neighbor.GaussianNeighbor-class.html">GaussianNeighbor</a><tt class="py-op">(</tt><tt class="py-base-class">ContinuousNeighbor</tt><tt class="py-op">)</tt><tt class="py-op">:</tt> </tt>
</div><div id="GaussianNeighbor-collapsed" style="display:none;" pad="+++" indent="++++"></div><div id="GaussianNeighbor-expanded"><a name="L89"></a><tt class="py-lineno"> 89</tt>  <tt class="py-line">    <tt class="py-docstring">'''</tt> </tt>
<a name="L90"></a><tt class="py-lineno"> 90</tt>  <tt class="py-line"><tt class="py-docstring">    A new estimate based on a gaussian distribution</tt> </tt>
<a name="L91"></a><tt class="py-lineno"> 91</tt>  <tt class="py-line"><tt class="py-docstring"></tt> </tt>
<a name="L92"></a><tt class="py-lineno"> 92</tt>  <tt class="py-line"><tt class="py-docstring">    This class creates a function that computes the neighbor of an estimate by</tt> </tt>
<a name="L93"></a><tt class="py-lineno"> 93</tt>  <tt class="py-line"><tt class="py-docstring">    adding a gaussian distributed randomly choosen vector with the same shape</tt> </tt>
<a name="L94"></a><tt class="py-lineno"> 94</tt>  <tt class="py-line"><tt class="py-docstring">    and size of the estimate.</tt> </tt>
<a name="L95"></a><tt class="py-lineno"> 95</tt>  <tt class="py-line"><tt class="py-docstring">    '''</tt> </tt>
<a name="GaussianNeighbor.__init__"></a><div id="GaussianNeighbor.__init__-def"><a name="L96"></a><tt class="py-lineno"> 96</tt> <a class="py-toggle" href="#" id="GaussianNeighbor.__init__-toggle" onclick="return toggle('GaussianNeighbor.__init__');">-</a><tt class="py-line">    <tt class="py-keyword">def</tt> <a class="py-def-name" href="peach.sa.neighbor.GaussianNeighbor-class.html#__init__">__init__</a><tt class="py-op">(</tt><tt class="py-param">self</tt><tt class="py-op">,</tt> <tt class="py-param">variance</tt><tt class="py-op">=</tt><tt class="py-number">0.05</tt><tt class="py-op">)</tt><tt class="py-op">:</tt> </tt>
</div><div id="GaussianNeighbor.__init__-collapsed" style="display:none;" pad="+++" indent="++++++++"></div><div id="GaussianNeighbor.__init__-expanded"><a name="L97"></a><tt class="py-lineno"> 97</tt>  <tt class="py-line">        <tt class="py-docstring">'''</tt> </tt>
<a name="L98"></a><tt class="py-lineno"> 98</tt>  <tt class="py-line"><tt class="py-docstring">        Initializes the neighbor operator</tt> </tt>
<a name="L99"></a><tt class="py-lineno"> 99</tt>  <tt class="py-line"><tt class="py-docstring"></tt> </tt>
<a name="L100"></a><tt class="py-lineno">100</tt>  <tt class="py-line"><tt class="py-docstring">        :Parameters:</tt> </tt>
<a name="L101"></a><tt class="py-lineno">101</tt>  <tt class="py-line"><tt class="py-docstring">          variance</tt> </tt>
<a name="L102"></a><tt class="py-lineno">102</tt>  <tt class="py-line"><tt class="py-docstring">            This is the variance of the gaussian distribution used to randomize</tt> </tt>
<a name="L103"></a><tt class="py-lineno">103</tt>  <tt class="py-line"><tt class="py-docstring">            the estimate. This can be given as a single value or as an array. In</tt> </tt>
<a name="L104"></a><tt class="py-lineno">104</tt>  <tt class="py-line"><tt class="py-docstring">            the first case, the same value will be used for all the components</tt> </tt>
<a name="L105"></a><tt class="py-lineno">105</tt>  <tt class="py-line"><tt class="py-docstring">            of the estimate; in the second case, ``variance`` should be an array</tt> </tt>
<a name="L106"></a><tt class="py-lineno">106</tt>  <tt class="py-line"><tt class="py-docstring">            with the same number of components of the estimate, and each</tt> </tt>
<a name="L107"></a><tt class="py-lineno">107</tt>  <tt class="py-line"><tt class="py-docstring">            component in this array is the variance of the corresponding</tt> </tt>
<a name="L108"></a><tt class="py-lineno">108</tt>  <tt class="py-line"><tt class="py-docstring">            component in the estimate array.</tt> </tt>
<a name="L109"></a><tt class="py-lineno">109</tt>  <tt class="py-line"><tt class="py-docstring">        '''</tt> </tt>
<a name="L110"></a><tt class="py-lineno">110</tt>  <tt class="py-line">        <tt class="py-name">self</tt><tt class="py-op">.</tt><tt class="py-name">variance</tt> <tt class="py-op">=</tt> <tt class="py-name">variance</tt> </tt>
<a name="L111"></a><tt class="py-lineno">111</tt>  <tt class="py-line">        <tt class="py-string">'''Variance of the gaussian distribution.'''</tt> </tt>
</div><a name="L112"></a><tt class="py-lineno">112</tt>  <tt class="py-line"> </tt>
<a name="GaussianNeighbor.__call__"></a><div id="GaussianNeighbor.__call__-def"><a name="L113"></a><tt class="py-lineno">113</tt> <a class="py-toggle" href="#" id="GaussianNeighbor.__call__-toggle" onclick="return toggle('GaussianNeighbor.__call__');">-</a><tt class="py-line">    <tt class="py-keyword">def</tt> <a class="py-def-name" href="peach.sa.neighbor.GaussianNeighbor-class.html#__call__">__call__</a><tt class="py-op">(</tt><tt class="py-param">self</tt><tt class="py-op">,</tt> <tt class="py-param">x</tt><tt class="py-op">)</tt><tt class="py-op">:</tt> </tt>
</div><div id="GaussianNeighbor.__call__-collapsed" style="display:none;" pad="+++" indent="++++++++"></div><div id="GaussianNeighbor.__call__-expanded"><a name="L114"></a><tt class="py-lineno">114</tt>  <tt class="py-line">        <tt class="py-docstring">'''</tt> </tt>
<a name="L115"></a><tt class="py-lineno">115</tt>  <tt class="py-line"><tt class="py-docstring">        Computes the neighbor of the given estimate.</tt> </tt>
<a name="L116"></a><tt class="py-lineno">116</tt>  <tt class="py-line"><tt class="py-docstring"></tt> </tt>
<a name="L117"></a><tt class="py-lineno">117</tt>  <tt class="py-line"><tt class="py-docstring">        :Parameters:</tt> </tt>
<a name="L118"></a><tt class="py-lineno">118</tt>  <tt class="py-line"><tt class="py-docstring">          x</tt> </tt>
<a name="L119"></a><tt class="py-lineno">119</tt>  <tt class="py-line"><tt class="py-docstring">            The estimate to which the neighbor must be computed.</tt> </tt>
<a name="L120"></a><tt class="py-lineno">120</tt>  <tt class="py-line"><tt class="py-docstring">        '''</tt> </tt>
<a name="L121"></a><tt class="py-lineno">121</tt>  <tt class="py-line">        <tt class="py-name">s</tt> <tt class="py-op">=</tt> <tt id="link-3" class="py-name"><a title="peach.fuzzy.cmeans.FuzzyCMeans.x
peach.optm.linear.Direct1D.x
peach.optm.linear.GoldenRule.x
peach.optm.linear.Interpolation.x
peach.optm.multivar.Direct.x
peach.optm.multivar.Gradient.x
peach.optm.multivar.MomentumGradient.x
peach.optm.multivar.Newton.x
peach.optm.quasinewton.DFP.x
peach.optm.quasinewton.SR1.x
peach.sa.base.BinarySA.x
peach.sa.base.ContinuousSA.x" class="py-name" href="#" onclick="return doclink('link-3', 'x', 'link-2');">x</a></tt><tt class="py-op">.</tt><tt id="link-4" class="py-name" targets="Variable peach.nn.base.Layer.shape=peach.nn.base.Layer-class.html#shape"><a title="peach.nn.base.Layer.shape" class="py-name" href="#" onclick="return doclink('link-4', 'shape', 'link-4');">shape</a></tt> </tt>
<a name="L122"></a><tt class="py-lineno">122</tt>  <tt class="py-line">        <tt id="link-5" class="py-name"><a title="peach.fuzzy.cmeans.FuzzyCMeans.x
peach.optm.linear.Direct1D.x
peach.optm.linear.GoldenRule.x
peach.optm.linear.Interpolation.x
peach.optm.multivar.Direct.x
peach.optm.multivar.Gradient.x
peach.optm.multivar.MomentumGradient.x
peach.optm.multivar.Newton.x
peach.optm.quasinewton.DFP.x
peach.optm.quasinewton.SR1.x
peach.sa.base.BinarySA.x
peach.sa.base.ContinuousSA.x" class="py-name" href="#" onclick="return doclink('link-5', 'x', 'link-2');">x</a></tt> <tt class="py-op">=</tt> <tt class="py-name">array</tt><tt class="py-op">(</tt><tt id="link-6" class="py-name"><a title="peach.fuzzy.cmeans.FuzzyCMeans.x
peach.optm.linear.Direct1D.x
peach.optm.linear.GoldenRule.x
peach.optm.linear.Interpolation.x
peach.optm.multivar.Direct.x
peach.optm.multivar.Gradient.x
peach.optm.multivar.MomentumGradient.x
peach.optm.multivar.Newton.x
peach.optm.quasinewton.DFP.x
peach.optm.quasinewton.SR1.x
peach.sa.base.BinarySA.x
peach.sa.base.ContinuousSA.x" class="py-name" href="#" onclick="return doclink('link-6', 'x', 'link-2');">x</a></tt><tt class="py-op">)</tt><tt class="py-op">.</tt><tt class="py-name">ravel</tt><tt class="py-op">(</tt><tt class="py-op">)</tt> </tt>
<a name="L123"></a><tt class="py-lineno">123</tt>  <tt class="py-line">        <tt class="py-name">xn</tt> <tt class="py-op">=</tt> <tt id="link-7" class="py-name"><a title="peach.fuzzy.cmeans.FuzzyCMeans.x
peach.optm.linear.Direct1D.x
peach.optm.linear.GoldenRule.x
peach.optm.linear.Interpolation.x
peach.optm.multivar.Direct.x
peach.optm.multivar.Gradient.x
peach.optm.multivar.MomentumGradient.x
peach.optm.multivar.Newton.x
peach.optm.quasinewton.DFP.x
peach.optm.quasinewton.SR1.x
peach.sa.base.BinarySA.x
peach.sa.base.ContinuousSA.x" class="py-name" href="#" onclick="return doclink('link-7', 'x', 'link-2');">x</a></tt> <tt class="py-op">+</tt> <tt class="py-name">self</tt><tt class="py-op">.</tt><tt class="py-name">variance</tt><tt class="py-op">*</tt><tt id="link-8" class="py-name"><a title="peach.sa.base.standard_normal" class="py-name" href="#" onclick="return doclink('link-8', 'standard_normal', 'link-1');">standard_normal</a></tt><tt class="py-op">(</tt><tt id="link-9" class="py-name"><a title="peach.fuzzy.cmeans.FuzzyCMeans.x
peach.optm.linear.Direct1D.x
peach.optm.linear.GoldenRule.x
peach.optm.linear.Interpolation.x
peach.optm.multivar.Direct.x
peach.optm.multivar.Gradient.x
peach.optm.multivar.MomentumGradient.x
peach.optm.multivar.Newton.x
peach.optm.quasinewton.DFP.x
peach.optm.quasinewton.SR1.x
peach.sa.base.BinarySA.x
peach.sa.base.ContinuousSA.x" class="py-name" href="#" onclick="return doclink('link-9', 'x', 'link-2');">x</a></tt><tt class="py-op">.</tt><tt id="link-10" class="py-name"><a title="peach.nn.base.Layer.shape" class="py-name" href="#" onclick="return doclink('link-10', 'shape', 'link-4');">shape</a></tt><tt class="py-op">)</tt> </tt>
<a name="L124"></a><tt class="py-lineno">124</tt>  <tt class="py-line">        <tt class="py-keyword">return</tt> <tt class="py-name">reshape</tt><tt class="py-op">(</tt><tt class="py-name">xn</tt><tt class="py-op">,</tt> <tt class="py-name">s</tt><tt class="py-op">)</tt> </tt>
</div></div><a name="L125"></a><tt class="py-lineno">125</tt>  <tt class="py-line"> </tt>
<a name="L126"></a><tt class="py-lineno">126</tt>  <tt class="py-line"> </tt>
<a name="L127"></a><tt class="py-lineno">127</tt>  <tt class="py-line"><tt class="py-comment">################################################################################</tt> </tt>
<a name="UniformNeighbor"></a><div id="UniformNeighbor-def"><a name="L128"></a><tt class="py-lineno">128</tt> <a class="py-toggle" href="#" id="UniformNeighbor-toggle" onclick="return toggle('UniformNeighbor');">-</a><tt class="py-line"><tt class="py-keyword">class</tt> <a class="py-def-name" href="peach.sa.neighbor.UniformNeighbor-class.html">UniformNeighbor</a><tt class="py-op">(</tt><tt class="py-base-class">ContinuousNeighbor</tt><tt class="py-op">)</tt><tt class="py-op">:</tt> </tt>
</div><div id="UniformNeighbor-collapsed" style="display:none;" pad="+++" indent="++++"></div><div id="UniformNeighbor-expanded"><a name="L129"></a><tt class="py-lineno">129</tt>  <tt class="py-line">    <tt class="py-docstring">'''</tt> </tt>
<a name="L130"></a><tt class="py-lineno">130</tt>  <tt class="py-line"><tt class="py-docstring">    A new estimate based on a uniform distribution</tt> </tt>
<a name="L131"></a><tt class="py-lineno">131</tt>  <tt class="py-line"><tt class="py-docstring"></tt> </tt>
<a name="L132"></a><tt class="py-lineno">132</tt>  <tt class="py-line"><tt class="py-docstring">    This class creates a function that computes the neighbor of an estimate by</tt> </tt>
<a name="L133"></a><tt class="py-lineno">133</tt>  <tt class="py-line"><tt class="py-docstring">    adding a uniform distributed randomly choosen vector with the same shape</tt> </tt>
<a name="L134"></a><tt class="py-lineno">134</tt>  <tt class="py-line"><tt class="py-docstring">    and size of the estimate.</tt> </tt>
<a name="L135"></a><tt class="py-lineno">135</tt>  <tt class="py-line"><tt class="py-docstring">    '''</tt> </tt>
<a name="UniformNeighbor.__init__"></a><div id="UniformNeighbor.__init__-def"><a name="L136"></a><tt class="py-lineno">136</tt> <a class="py-toggle" href="#" id="UniformNeighbor.__init__-toggle" onclick="return toggle('UniformNeighbor.__init__');">-</a><tt class="py-line">    <tt class="py-keyword">def</tt> <a class="py-def-name" href="peach.sa.neighbor.UniformNeighbor-class.html#__init__">__init__</a><tt class="py-op">(</tt><tt class="py-param">self</tt><tt class="py-op">,</tt> <tt class="py-param">xl</tt><tt class="py-op">=</tt><tt class="py-op">-</tt><tt class="py-number">1.0</tt><tt class="py-op">,</tt> <tt class="py-param">xh</tt><tt class="py-op">=</tt><tt class="py-number">1.0</tt><tt class="py-op">)</tt><tt class="py-op">:</tt> </tt>
</div><div id="UniformNeighbor.__init__-collapsed" style="display:none;" pad="+++" indent="++++++++"></div><div id="UniformNeighbor.__init__-expanded"><a name="L137"></a><tt class="py-lineno">137</tt>  <tt class="py-line">        <tt class="py-docstring">'''</tt> </tt>
<a name="L138"></a><tt class="py-lineno">138</tt>  <tt class="py-line"><tt class="py-docstring">        Initializes the neighbor operator</tt> </tt>
<a name="L139"></a><tt class="py-lineno">139</tt>  <tt class="py-line"><tt class="py-docstring"></tt> </tt>
<a name="L140"></a><tt class="py-lineno">140</tt>  <tt class="py-line"><tt class="py-docstring">        :Parameters:</tt> </tt>
<a name="L141"></a><tt class="py-lineno">141</tt>  <tt class="py-line"><tt class="py-docstring">          xl</tt> </tt>
<a name="L142"></a><tt class="py-lineno">142</tt>  <tt class="py-line"><tt class="py-docstring">            The lower limit of the distribution;</tt> </tt>
<a name="L143"></a><tt class="py-lineno">143</tt>  <tt class="py-line"><tt class="py-docstring"></tt> </tt>
<a name="L144"></a><tt class="py-lineno">144</tt>  <tt class="py-line"><tt class="py-docstring">          xh</tt> </tt>
<a name="L145"></a><tt class="py-lineno">145</tt>  <tt class="py-line"><tt class="py-docstring">            The upper limit of the distribution. Both values can be given as a</tt> </tt>
<a name="L146"></a><tt class="py-lineno">146</tt>  <tt class="py-line"><tt class="py-docstring">            single value or as an array. In the first case, the same value will</tt> </tt>
<a name="L147"></a><tt class="py-lineno">147</tt>  <tt class="py-line"><tt class="py-docstring">            be used for all the components of the estimate; in the second case,</tt> </tt>
<a name="L148"></a><tt class="py-lineno">148</tt>  <tt class="py-line"><tt class="py-docstring">            they should be an array with the same number of components of the</tt> </tt>
<a name="L149"></a><tt class="py-lineno">149</tt>  <tt class="py-line"><tt class="py-docstring">            estimate, and each component in this array is the variance of the</tt> </tt>
<a name="L150"></a><tt class="py-lineno">150</tt>  <tt class="py-line"><tt class="py-docstring">            corresponding component in the estimate array.</tt> </tt>
<a name="L151"></a><tt class="py-lineno">151</tt>  <tt class="py-line"><tt class="py-docstring">        '''</tt> </tt>
<a name="L152"></a><tt class="py-lineno">152</tt>  <tt class="py-line">        <tt class="py-name">self</tt><tt class="py-op">.</tt><tt class="py-name">xl</tt> <tt class="py-op">=</tt> <tt class="py-name">xl</tt> </tt>
<a name="L153"></a><tt class="py-lineno">153</tt>  <tt class="py-line">        <tt class="py-string">'''Lower limit of the uniform distribution.'''</tt> </tt>
<a name="L154"></a><tt class="py-lineno">154</tt>  <tt class="py-line">        <tt class="py-name">self</tt><tt class="py-op">.</tt><tt class="py-name">xh</tt> <tt class="py-op">=</tt> <tt class="py-name">xh</tt> </tt>
<a name="L155"></a><tt class="py-lineno">155</tt>  <tt class="py-line">        <tt class="py-string">'''Upper limit of the uniform distribution.'''</tt> </tt>
</div><a name="L156"></a><tt class="py-lineno">156</tt>  <tt class="py-line"> </tt>
<a name="UniformNeighbor.__call__"></a><div id="UniformNeighbor.__call__-def"><a name="L157"></a><tt class="py-lineno">157</tt> <a class="py-toggle" href="#" id="UniformNeighbor.__call__-toggle" onclick="return toggle('UniformNeighbor.__call__');">-</a><tt class="py-line">    <tt class="py-keyword">def</tt> <a class="py-def-name" href="peach.sa.neighbor.UniformNeighbor-class.html#__call__">__call__</a><tt class="py-op">(</tt><tt class="py-param">self</tt><tt class="py-op">,</tt> <tt class="py-param">x</tt><tt class="py-op">)</tt><tt class="py-op">:</tt> </tt>
</div><div id="UniformNeighbor.__call__-collapsed" style="display:none;" pad="+++" indent="++++++++"></div><div id="UniformNeighbor.__call__-expanded"><a name="L158"></a><tt class="py-lineno">158</tt>  <tt class="py-line">        <tt class="py-docstring">'''</tt> </tt>
<a name="L159"></a><tt class="py-lineno">159</tt>  <tt class="py-line"><tt class="py-docstring">        Computes the neighbor of the given estimate.</tt> </tt>
<a name="L160"></a><tt class="py-lineno">160</tt>  <tt class="py-line"><tt class="py-docstring"></tt> </tt>
<a name="L161"></a><tt class="py-lineno">161</tt>  <tt class="py-line"><tt class="py-docstring">        :Parameters:</tt> </tt>
<a name="L162"></a><tt class="py-lineno">162</tt>  <tt class="py-line"><tt class="py-docstring">          x</tt> </tt>
<a name="L163"></a><tt class="py-lineno">163</tt>  <tt class="py-line"><tt class="py-docstring">            The estimate to which the neighbor must be computed.</tt> </tt>
<a name="L164"></a><tt class="py-lineno">164</tt>  <tt class="py-line"><tt class="py-docstring">        '''</tt> </tt>
<a name="L165"></a><tt class="py-lineno">165</tt>  <tt class="py-line">        <tt class="py-name">s</tt> <tt class="py-op">=</tt> <tt id="link-11" class="py-name"><a title="peach.fuzzy.cmeans.FuzzyCMeans.x
peach.optm.linear.Direct1D.x
peach.optm.linear.GoldenRule.x
peach.optm.linear.Interpolation.x
peach.optm.multivar.Direct.x
peach.optm.multivar.Gradient.x
peach.optm.multivar.MomentumGradient.x
peach.optm.multivar.Newton.x
peach.optm.quasinewton.DFP.x
peach.optm.quasinewton.SR1.x
peach.sa.base.BinarySA.x
peach.sa.base.ContinuousSA.x" class="py-name" href="#" onclick="return doclink('link-11', 'x', 'link-2');">x</a></tt><tt class="py-op">.</tt><tt id="link-12" class="py-name"><a title="peach.nn.base.Layer.shape" class="py-name" href="#" onclick="return doclink('link-12', 'shape', 'link-4');">shape</a></tt> </tt>
<a name="L166"></a><tt class="py-lineno">166</tt>  <tt class="py-line">        <tt id="link-13" class="py-name"><a title="peach.fuzzy.cmeans.FuzzyCMeans.x
peach.optm.linear.Direct1D.x
peach.optm.linear.GoldenRule.x
peach.optm.linear.Interpolation.x
peach.optm.multivar.Direct.x
peach.optm.multivar.Gradient.x
peach.optm.multivar.MomentumGradient.x
peach.optm.multivar.Newton.x
peach.optm.quasinewton.DFP.x
peach.optm.quasinewton.SR1.x
peach.sa.base.BinarySA.x
peach.sa.base.ContinuousSA.x" class="py-name" href="#" onclick="return doclink('link-13', 'x', 'link-2');">x</a></tt> <tt class="py-op">=</tt> <tt class="py-name">array</tt><tt class="py-op">(</tt><tt id="link-14" class="py-name"><a title="peach.fuzzy.cmeans.FuzzyCMeans.x
peach.optm.linear.Direct1D.x
peach.optm.linear.GoldenRule.x
peach.optm.linear.Interpolation.x
peach.optm.multivar.Direct.x
peach.optm.multivar.Gradient.x
peach.optm.multivar.MomentumGradient.x
peach.optm.multivar.Newton.x
peach.optm.quasinewton.DFP.x
peach.optm.quasinewton.SR1.x
peach.sa.base.BinarySA.x
peach.sa.base.ContinuousSA.x" class="py-name" href="#" onclick="return doclink('link-14', 'x', 'link-2');">x</a></tt><tt class="py-op">)</tt><tt class="py-op">.</tt><tt class="py-name">ravel</tt><tt class="py-op">(</tt><tt class="py-op">)</tt> </tt>
<a name="L167"></a><tt class="py-lineno">167</tt>  <tt class="py-line">        <tt class="py-name">n</tt> <tt class="py-op">=</tt> <tt class="py-name">len</tt><tt class="py-op">(</tt><tt id="link-15" class="py-name"><a title="peach.fuzzy.cmeans.FuzzyCMeans.x
peach.optm.linear.Direct1D.x
peach.optm.linear.GoldenRule.x
peach.optm.linear.Interpolation.x
peach.optm.multivar.Direct.x
peach.optm.multivar.Gradient.x
peach.optm.multivar.MomentumGradient.x
peach.optm.multivar.Newton.x
peach.optm.quasinewton.DFP.x
peach.optm.quasinewton.SR1.x
peach.sa.base.BinarySA.x
peach.sa.base.ContinuousSA.x" class="py-name" href="#" onclick="return doclink('link-15', 'x', 'link-2');">x</a></tt><tt class="py-op">)</tt> </tt>
<a name="L168"></a><tt class="py-lineno">168</tt>  <tt class="py-line">        <tt class="py-name">xn</tt> <tt class="py-op">=</tt> <tt id="link-16" class="py-name"><a title="peach.fuzzy.cmeans.FuzzyCMeans.x
peach.optm.linear.Direct1D.x
peach.optm.linear.GoldenRule.x
peach.optm.linear.Interpolation.x
peach.optm.multivar.Direct.x
peach.optm.multivar.Gradient.x
peach.optm.multivar.MomentumGradient.x
peach.optm.multivar.Newton.x
peach.optm.quasinewton.DFP.x
peach.optm.quasinewton.SR1.x
peach.sa.base.BinarySA.x
peach.sa.base.ContinuousSA.x" class="py-name" href="#" onclick="return doclink('link-16', 'x', 'link-2');">x</a></tt> <tt class="py-op">+</tt> <tt class="py-name">uniform</tt><tt class="py-op">(</tt><tt class="py-name">self</tt><tt class="py-op">.</tt><tt class="py-name">xl</tt><tt class="py-op">,</tt> <tt class="py-name">self</tt><tt class="py-op">.</tt><tt class="py-name">xh</tt><tt class="py-op">,</tt> <tt class="py-name">n</tt><tt class="py-op">)</tt> </tt>
<a name="L169"></a><tt class="py-lineno">169</tt>  <tt class="py-line">        <tt class="py-keyword">return</tt> <tt class="py-name">reshape</tt><tt class="py-op">(</tt><tt class="py-name">xn</tt><tt class="py-op">,</tt> <tt class="py-name">s</tt><tt class="py-op">)</tt> </tt>
</div></div><a name="L170"></a><tt class="py-lineno">170</tt>  <tt class="py-line"> </tt>
<a name="L171"></a><tt class="py-lineno">171</tt>  <tt class="py-line"> </tt>
<a name="L172"></a><tt class="py-lineno">172</tt>  <tt class="py-line"><tt class="py-comment">################################################################################</tt> </tt>
<a name="BinaryNeighbor"></a><div id="BinaryNeighbor-def"><a name="L173"></a><tt class="py-lineno">173</tt> <a class="py-toggle" href="#" id="BinaryNeighbor-toggle" onclick="return toggle('BinaryNeighbor');">-</a><tt class="py-line"><tt class="py-keyword">class</tt> <a class="py-def-name" href="peach.sa.neighbor.BinaryNeighbor-class.html">BinaryNeighbor</a><tt class="py-op">(</tt><tt class="py-base-class">object</tt><tt class="py-op">)</tt><tt class="py-op">:</tt> </tt>
</div><div id="BinaryNeighbor-collapsed" style="display:none;" pad="+++" indent="++++"></div><div id="BinaryNeighbor-expanded"><a name="L174"></a><tt class="py-lineno">174</tt>  <tt class="py-line">    <tt class="py-docstring">'''</tt> </tt>
<a name="L175"></a><tt class="py-lineno">175</tt>  <tt class="py-line"><tt class="py-docstring">    Base class for binary neighbor functions</tt> </tt>
<a name="L176"></a><tt class="py-lineno">176</tt>  <tt class="py-line"><tt class="py-docstring"></tt> </tt>
<a name="L177"></a><tt class="py-lineno">177</tt>  <tt class="py-line"><tt class="py-docstring">    This class should be derived to implement a function which computes the</tt> </tt>
<a name="L178"></a><tt class="py-lineno">178</tt>  <tt class="py-line"><tt class="py-docstring">    neighbor of a given estimate. Every neighbor functions should implement at</tt> </tt>
<a name="L179"></a><tt class="py-lineno">179</tt>  <tt class="py-line"><tt class="py-docstring">    least two methods, defined below:</tt> </tt>
<a name="L180"></a><tt class="py-lineno">180</tt>  <tt class="py-line"><tt class="py-docstring"></tt> </tt>
<a name="L181"></a><tt class="py-lineno">181</tt>  <tt class="py-line"><tt class="py-docstring">      __init__(self, *cnf, **kw)</tt> </tt>
<a name="L182"></a><tt class="py-lineno">182</tt>  <tt class="py-line"><tt class="py-docstring">        Initializes the object. There are no mandatory arguments, but any</tt> </tt>
<a name="L183"></a><tt class="py-lineno">183</tt>  <tt class="py-line"><tt class="py-docstring">        parameters can be used here to configure the operator. For example, a</tt> </tt>
<a name="L184"></a><tt class="py-lineno">184</tt>  <tt class="py-line"><tt class="py-docstring">        class can define a bit change rate -- this should be defined here::</tt> </tt>
<a name="L185"></a><tt class="py-lineno">185</tt>  <tt class="py-line"><tt class="py-docstring"></tt> </tt>
<a name="L186"></a><tt class="py-lineno">186</tt>  <tt class="py-line"><tt class="py-docstring">          __init__(self, rate=0.01)</tt> </tt>
<a name="L187"></a><tt class="py-lineno">187</tt>  <tt class="py-line"><tt class="py-docstring"></tt> </tt>
<a name="L188"></a><tt class="py-lineno">188</tt>  <tt class="py-line"><tt class="py-docstring">        A default value should always be offered, if possible.</tt> </tt>
<a name="L189"></a><tt class="py-lineno">189</tt>  <tt class="py-line"><tt class="py-docstring"></tt> </tt>
<a name="L190"></a><tt class="py-lineno">190</tt>  <tt class="py-line"><tt class="py-docstring">      __call__(self, x):</tt> </tt>
<a name="L191"></a><tt class="py-lineno">191</tt>  <tt class="py-line"><tt class="py-docstring">        The ``__call__`` interface should be programmed to actually compute the</tt> </tt>
<a name="L192"></a><tt class="py-lineno">192</tt>  <tt class="py-line"><tt class="py-docstring">        value of the neighbor. This method should receive an estimate in ``x``</tt> </tt>
<a name="L193"></a><tt class="py-lineno">193</tt>  <tt class="py-line"><tt class="py-docstring">        and use whatever parameters from the instantiation to compute the new</tt> </tt>
<a name="L194"></a><tt class="py-lineno">194</tt>  <tt class="py-line"><tt class="py-docstring">        estimate. It should return the new estimate.</tt> </tt>
<a name="L195"></a><tt class="py-lineno">195</tt>  <tt class="py-line"><tt class="py-docstring"></tt> </tt>
<a name="L196"></a><tt class="py-lineno">196</tt>  <tt class="py-line"><tt class="py-docstring">    Please, note that the SA implementations relies on this behaviour: it will</tt> </tt>
<a name="L197"></a><tt class="py-lineno">197</tt>  <tt class="py-line"><tt class="py-docstring">    pass an estimate to your ``__call__`` method and expects to received the</tt> </tt>
<a name="L198"></a><tt class="py-lineno">198</tt>  <tt class="py-line"><tt class="py-docstring">    result back. Notice, however, that the SA implementation does not expect</tt> </tt>
<a name="L199"></a><tt class="py-lineno">199</tt>  <tt class="py-line"><tt class="py-docstring">    that the result is sane, ie, that it is in conformity with the</tt> </tt>
<a name="L200"></a><tt class="py-lineno">200</tt>  <tt class="py-line"><tt class="py-docstring">    representation used in the algorithm. A sanity check is done inside the</tt> </tt>
<a name="L201"></a><tt class="py-lineno">201</tt>  <tt class="py-line"><tt class="py-docstring">    binary SA class. Please, consult the documentation on ``BinarySA`` for</tt> </tt>
<a name="L202"></a><tt class="py-lineno">202</tt>  <tt class="py-line"><tt class="py-docstring">    further details.</tt> </tt>
<a name="L203"></a><tt class="py-lineno">203</tt>  <tt class="py-line"><tt class="py-docstring"></tt> </tt>
<a name="L204"></a><tt class="py-lineno">204</tt>  <tt class="py-line"><tt class="py-docstring">    This class can be used also to transform a simple function in a neighbor</tt> </tt>
<a name="L205"></a><tt class="py-lineno">205</tt>  <tt class="py-line"><tt class="py-docstring">    function. In this case, the outside function must compute in an appropriate</tt> </tt>
<a name="L206"></a><tt class="py-lineno">206</tt>  <tt class="py-line"><tt class="py-docstring">    way the new estimate.</tt> </tt>
<a name="L207"></a><tt class="py-lineno">207</tt>  <tt class="py-line"><tt class="py-docstring">    '''</tt> </tt>
<a name="BinaryNeighbor.__init__"></a><div id="BinaryNeighbor.__init__-def"><a name="L208"></a><tt class="py-lineno">208</tt> <a class="py-toggle" href="#" id="BinaryNeighbor.__init__-toggle" onclick="return toggle('BinaryNeighbor.__init__');">-</a><tt class="py-line">    <tt class="py-keyword">def</tt> <a class="py-def-name" href="peach.sa.neighbor.BinaryNeighbor-class.html#__init__">__init__</a><tt class="py-op">(</tt><tt class="py-param">self</tt><tt class="py-op">,</tt> <tt class="py-param">f</tt><tt class="py-op">)</tt><tt class="py-op">:</tt> </tt>
</div><div id="BinaryNeighbor.__init__-collapsed" style="display:none;" pad="+++" indent="++++++++"></div><div id="BinaryNeighbor.__init__-expanded"><a name="L209"></a><tt class="py-lineno">209</tt>  <tt class="py-line">        <tt class="py-docstring">'''</tt> </tt>
<a name="L210"></a><tt class="py-lineno">210</tt>  <tt class="py-line"><tt class="py-docstring">        Creates a neighbor function from a function.</tt> </tt>
<a name="L211"></a><tt class="py-lineno">211</tt>  <tt class="py-line"><tt class="py-docstring"></tt> </tt>
<a name="L212"></a><tt class="py-lineno">212</tt>  <tt class="py-line"><tt class="py-docstring">        :Parameters:</tt> </tt>
<a name="L213"></a><tt class="py-lineno">213</tt>  <tt class="py-line"><tt class="py-docstring">          f</tt> </tt>
<a name="L214"></a><tt class="py-lineno">214</tt>  <tt class="py-line"><tt class="py-docstring">            The function to be transformed. This function must receive a</tt> </tt>
<a name="L215"></a><tt class="py-lineno">215</tt>  <tt class="py-line"><tt class="py-docstring">            bitarray of any length as an estimate, and return a new bitarray of</tt> </tt>
<a name="L216"></a><tt class="py-lineno">216</tt>  <tt class="py-line"><tt class="py-docstring">            the same length as a result.</tt> </tt>
<a name="L217"></a><tt class="py-lineno">217</tt>  <tt class="py-line"><tt class="py-docstring">        '''</tt> </tt>
<a name="L218"></a><tt class="py-lineno">218</tt>  <tt class="py-line">        <tt class="py-name">self</tt><tt class="py-op">.</tt><tt class="py-name">__f</tt> <tt class="py-op">=</tt> <tt class="py-name">f</tt> </tt>
</div><a name="L219"></a><tt class="py-lineno">219</tt>  <tt class="py-line"> </tt>
<a name="BinaryNeighbor.__call__"></a><div id="BinaryNeighbor.__call__-def"><a name="L220"></a><tt class="py-lineno">220</tt> <a class="py-toggle" href="#" id="BinaryNeighbor.__call__-toggle" onclick="return toggle('BinaryNeighbor.__call__');">-</a><tt class="py-line">    <tt class="py-keyword">def</tt> <a class="py-def-name" href="peach.sa.neighbor.BinaryNeighbor-class.html#__call__">__call__</a><tt class="py-op">(</tt><tt class="py-param">self</tt><tt class="py-op">,</tt> <tt class="py-param">x</tt><tt class="py-op">)</tt><tt class="py-op">:</tt> </tt>
</div><div id="BinaryNeighbor.__call__-collapsed" style="display:none;" pad="+++" indent="++++++++"></div><div id="BinaryNeighbor.__call__-expanded"><a name="L221"></a><tt class="py-lineno">221</tt>  <tt class="py-line">        <tt class="py-docstring">'''</tt> </tt>
<a name="L222"></a><tt class="py-lineno">222</tt>  <tt class="py-line"><tt class="py-docstring">        Computes the neighbor of the given estimate.</tt> </tt>
<a name="L223"></a><tt class="py-lineno">223</tt>  <tt class="py-line"><tt class="py-docstring"></tt> </tt>
<a name="L224"></a><tt class="py-lineno">224</tt>  <tt class="py-line"><tt class="py-docstring">        :Parameters:</tt> </tt>
<a name="L225"></a><tt class="py-lineno">225</tt>  <tt class="py-line"><tt class="py-docstring">          x</tt> </tt>
<a name="L226"></a><tt class="py-lineno">226</tt>  <tt class="py-line"><tt class="py-docstring">            The estimate to which the neighbor must be computed.</tt> </tt>
<a name="L227"></a><tt class="py-lineno">227</tt>  <tt class="py-line"><tt class="py-docstring">        '''</tt> </tt>
<a name="L228"></a><tt class="py-lineno">228</tt>  <tt class="py-line">        <tt class="py-keyword">return</tt> <tt class="py-name">self</tt><tt class="py-op">.</tt><tt class="py-name">__f</tt><tt class="py-op">(</tt><tt id="link-17" class="py-name"><a title="peach.fuzzy.cmeans.FuzzyCMeans.x
peach.optm.linear.Direct1D.x
peach.optm.linear.GoldenRule.x
peach.optm.linear.Interpolation.x
peach.optm.multivar.Direct.x
peach.optm.multivar.Gradient.x
peach.optm.multivar.MomentumGradient.x
peach.optm.multivar.Newton.x
peach.optm.quasinewton.DFP.x
peach.optm.quasinewton.SR1.x
peach.sa.base.BinarySA.x
peach.sa.base.ContinuousSA.x" class="py-name" href="#" onclick="return doclink('link-17', 'x', 'link-2');">x</a></tt><tt class="py-op">)</tt> </tt>
</div></div><a name="L229"></a><tt class="py-lineno">229</tt>  <tt class="py-line"> </tt>
<a name="L230"></a><tt class="py-lineno">230</tt>  <tt class="py-line"> </tt>
<a name="L231"></a><tt class="py-lineno">231</tt>  <tt class="py-line"><tt class="py-comment">################################################################################</tt> </tt>
<a name="InvertBitsNeighbor"></a><div id="InvertBitsNeighbor-def"><a name="L232"></a><tt class="py-lineno">232</tt> <a class="py-toggle" href="#" id="InvertBitsNeighbor-toggle" onclick="return toggle('InvertBitsNeighbor');">-</a><tt class="py-line"><tt class="py-keyword">class</tt> <a class="py-def-name" href="peach.sa.neighbor.InvertBitsNeighbor-class.html">InvertBitsNeighbor</a><tt class="py-op">(</tt><tt class="py-base-class">BinaryNeighbor</tt><tt class="py-op">)</tt><tt class="py-op">:</tt> </tt>
</div><div id="InvertBitsNeighbor-collapsed" style="display:none;" pad="+++" indent="++++"></div><div id="InvertBitsNeighbor-expanded"><a name="L233"></a><tt class="py-lineno">233</tt>  <tt class="py-line">    <tt class="py-docstring">'''</tt> </tt>
<a name="L234"></a><tt class="py-lineno">234</tt>  <tt class="py-line"><tt class="py-docstring">    A simple neighborhood based on the change of a few bits.</tt> </tt>
<a name="L235"></a><tt class="py-lineno">235</tt>  <tt class="py-line"><tt class="py-docstring"></tt> </tt>
<a name="L236"></a><tt class="py-lineno">236</tt>  <tt class="py-line"><tt class="py-docstring">    This neighbor will be computed by randomly choosing a bit in the bitarray</tt> </tt>
<a name="L237"></a><tt class="py-lineno">237</tt>  <tt class="py-line"><tt class="py-docstring">    representing the estimate and change a number of bits in the bitarray and</tt> </tt>
<a name="L238"></a><tt class="py-lineno">238</tt>  <tt class="py-line"><tt class="py-docstring">    inverting their value.</tt> </tt>
<a name="L239"></a><tt class="py-lineno">239</tt>  <tt class="py-line"><tt class="py-docstring">    '''</tt> </tt>
<a name="InvertBitsNeighbor.__init__"></a><div id="InvertBitsNeighbor.__init__-def"><a name="L240"></a><tt class="py-lineno">240</tt> <a class="py-toggle" href="#" id="InvertBitsNeighbor.__init__-toggle" onclick="return toggle('InvertBitsNeighbor.__init__');">-</a><tt class="py-line">    <tt class="py-keyword">def</tt> <a class="py-def-name" href="peach.sa.neighbor.InvertBitsNeighbor-class.html#__init__">__init__</a><tt class="py-op">(</tt><tt class="py-param">self</tt><tt class="py-op">,</tt> <tt class="py-param">nb</tt><tt class="py-op">=</tt><tt class="py-number">2</tt><tt class="py-op">)</tt><tt class="py-op">:</tt> </tt>
</div><div id="InvertBitsNeighbor.__init__-collapsed" style="display:none;" pad="+++" indent="++++++++"></div><div id="InvertBitsNeighbor.__init__-expanded"><a name="L241"></a><tt class="py-lineno">241</tt>  <tt class="py-line">        <tt class="py-docstring">'''</tt> </tt>
<a name="L242"></a><tt class="py-lineno">242</tt>  <tt class="py-line"><tt class="py-docstring">        Initializes the operator.</tt> </tt>
<a name="L243"></a><tt class="py-lineno">243</tt>  <tt class="py-line"><tt class="py-docstring"></tt> </tt>
<a name="L244"></a><tt class="py-lineno">244</tt>  <tt class="py-line"><tt class="py-docstring">        :Parameters:</tt> </tt>
<a name="L245"></a><tt class="py-lineno">245</tt>  <tt class="py-line"><tt class="py-docstring">          nb</tt> </tt>
<a name="L246"></a><tt class="py-lineno">246</tt>  <tt class="py-line"><tt class="py-docstring">            The number of bits to be randomly choosen to be inverted in the</tt> </tt>
<a name="L247"></a><tt class="py-lineno">247</tt>  <tt class="py-line"><tt class="py-docstring">            calculation of the neighbor. Be very careful while choosing this</tt> </tt>
<a name="L248"></a><tt class="py-lineno">248</tt>  <tt class="py-line"><tt class="py-docstring">            parameter. While very large optimizations can benefit from a big</tt> </tt>
<a name="L249"></a><tt class="py-lineno">249</tt>  <tt class="py-line"><tt class="py-docstring">            value here, it is not recommended that more than one bit per</tt> </tt>
<a name="L250"></a><tt class="py-lineno">250</tt>  <tt class="py-line"><tt class="py-docstring">            variable is inverted at each step -- otherwise, the neighbor might</tt> </tt>
<a name="L251"></a><tt class="py-lineno">251</tt>  <tt class="py-line"><tt class="py-docstring">            fall very far from the present estimate, which can make the</tt> </tt>
<a name="L252"></a><tt class="py-lineno">252</tt>  <tt class="py-line"><tt class="py-docstring">            algorithm not work accordingly. This defaults to 2, that is, at each</tt> </tt>
<a name="L253"></a><tt class="py-lineno">253</tt>  <tt class="py-line"><tt class="py-docstring">            step, only one bit will be inverted at most.</tt> </tt>
<a name="L254"></a><tt class="py-lineno">254</tt>  <tt class="py-line"><tt class="py-docstring">        '''</tt> </tt>
<a name="L255"></a><tt class="py-lineno">255</tt>  <tt class="py-line">        <tt class="py-name">self</tt><tt class="py-op">.</tt><tt class="py-name">__nb</tt> <tt class="py-op">=</tt> <tt class="py-name">nb</tt> </tt>
</div><a name="L256"></a><tt class="py-lineno">256</tt>  <tt class="py-line"> </tt>
<a name="L257"></a><tt class="py-lineno">257</tt>  <tt class="py-line"> </tt>
<a name="InvertBitsNeighbor.__call__"></a><div id="InvertBitsNeighbor.__call__-def"><a name="L258"></a><tt class="py-lineno">258</tt> <a class="py-toggle" href="#" id="InvertBitsNeighbor.__call__-toggle" onclick="return toggle('InvertBitsNeighbor.__call__');">-</a><tt class="py-line">    <tt class="py-keyword">def</tt> <a class="py-def-name" href="peach.sa.neighbor.InvertBitsNeighbor-class.html#__call__">__call__</a><tt class="py-op">(</tt><tt class="py-param">self</tt><tt class="py-op">,</tt> <tt class="py-param">x</tt><tt class="py-op">)</tt><tt class="py-op">:</tt> </tt>
</div><div id="InvertBitsNeighbor.__call__-collapsed" style="display:none;" pad="+++" indent="++++++++"></div><div id="InvertBitsNeighbor.__call__-expanded"><a name="L259"></a><tt class="py-lineno">259</tt>  <tt class="py-line">        <tt class="py-docstring">'''</tt> </tt>
<a name="L260"></a><tt class="py-lineno">260</tt>  <tt class="py-line"><tt class="py-docstring">        Computes the neighbor of the given estimate.</tt> </tt>
<a name="L261"></a><tt class="py-lineno">261</tt>  <tt class="py-line"><tt class="py-docstring"></tt> </tt>
<a name="L262"></a><tt class="py-lineno">262</tt>  <tt class="py-line"><tt class="py-docstring">        :Parameters:</tt> </tt>
<a name="L263"></a><tt class="py-lineno">263</tt>  <tt class="py-line"><tt class="py-docstring">          x</tt> </tt>
<a name="L264"></a><tt class="py-lineno">264</tt>  <tt class="py-line"><tt class="py-docstring">            The estimate to which the neighbor must be computed.</tt> </tt>
<a name="L265"></a><tt class="py-lineno">265</tt>  <tt class="py-line"><tt class="py-docstring">        '''</tt> </tt>
<a name="L266"></a><tt class="py-lineno">266</tt>  <tt class="py-line">        <tt class="py-name">xn</tt> <tt class="py-op">=</tt> <tt id="link-18" class="py-name"><a title="peach.fuzzy.cmeans.FuzzyCMeans.x
peach.optm.linear.Direct1D.x
peach.optm.linear.GoldenRule.x
peach.optm.linear.Interpolation.x
peach.optm.multivar.Direct.x
peach.optm.multivar.Gradient.x
peach.optm.multivar.MomentumGradient.x
peach.optm.multivar.Newton.x
peach.optm.quasinewton.DFP.x
peach.optm.quasinewton.SR1.x
peach.sa.base.BinarySA.x
peach.sa.base.ContinuousSA.x" class="py-name" href="#" onclick="return doclink('link-18', 'x', 'link-2');">x</a></tt><tt class="py-op">[</tt><tt class="py-op">:</tt><tt class="py-op">]</tt> </tt>
<a name="L267"></a><tt class="py-lineno">267</tt>  <tt class="py-line">        <tt class="py-keyword">for</tt> <tt class="py-name">i</tt> <tt class="py-keyword">in</tt> <tt class="py-name">xrange</tt><tt class="py-op">(</tt><tt class="py-name">self</tt><tt class="py-op">.</tt><tt class="py-name">__nb</tt><tt class="py-op">)</tt><tt class="py-op">:</tt> </tt>
<a name="L268"></a><tt class="py-lineno">268</tt>  <tt class="py-line">            <tt class="py-name">index</tt> <tt class="py-op">=</tt> <tt class="py-name">randrange</tt><tt class="py-op">(</tt><tt class="py-name">len</tt><tt class="py-op">(</tt><tt class="py-name">xn</tt><tt class="py-op">)</tt><tt class="py-op">)</tt> </tt>
<a name="L269"></a><tt class="py-lineno">269</tt>  <tt class="py-line">            <tt class="py-name">xn</tt><tt class="py-op">[</tt><tt class="py-name">index</tt><tt class="py-op">]</tt> <tt class="py-op">=</tt> <tt class="py-number">1</tt> <tt class="py-op">-</tt> <tt class="py-name">xn</tt><tt class="py-op">[</tt><tt class="py-name">index</tt><tt class="py-op">]</tt> </tt>
<a name="L270"></a><tt class="py-lineno">270</tt>  <tt class="py-line">        <tt class="py-keyword">return</tt> <tt class="py-name">xn</tt> </tt>
</div></div><a name="L271"></a><tt class="py-lineno">271</tt>  <tt class="py-line"> </tt>
<a name="L272"></a><tt class="py-lineno">272</tt>  <tt class="py-line"> </tt>
<a name="L273"></a><tt class="py-lineno">273</tt>  <tt class="py-line"><tt class="py-comment">################################################################################</tt> </tt>
<a name="L274"></a><tt class="py-lineno">274</tt>  <tt class="py-line"><tt class="py-keyword">if</tt> <tt class="py-name">__name__</tt> <tt class="py-op">==</tt> <tt class="py-string">"__main__"</tt><tt class="py-op">:</tt> </tt>
<a name="L275"></a><tt class="py-lineno">275</tt>  <tt class="py-line">    <tt class="py-keyword">pass</tt> </tt>
<a name="L276"></a><tt class="py-lineno">276</tt>  <tt class="py-line"> </tt><script type="text/javascript">
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